{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T17:08:10Z","timestamp":1784394490808,"version":"3.55.0"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T00:00:00Z","timestamp":1738368000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Artif. Intell."],"published-print":{"date-parts":[[2025,2]]},"DOI":"10.1109\/tai.2024.3368361","type":"journal-article","created":{"date-parts":[[2024,2,22]],"date-time":"2024-02-22T15:12:11Z","timestamp":1708614731000},"page":"354-364","source":"Crossref","is-referenced-by-count":3,"title":["Rethinking Transferable Adversarial Attacks With Double Adversarial Neuron Attribution"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-0231-4410","authenticated-orcid":false,"given":"Zhiyu","family":"Zhu","sequence":"first","affiliation":[{"name":"School of Electrical and Computer Engineering, University of Sydney, Darlington, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0218-1941","authenticated-orcid":false,"given":"Zhibo","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, University of Sydney, Darlington, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5103-011X","authenticated-orcid":false,"given":"Xinyi","family":"Wang","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science and Information Technology, University of Malaya, Kuala, Lumpur, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6636-8656","authenticated-orcid":false,"given":"Jiayu","family":"Zhang","sequence":"additional","affiliation":[{"name":"SuZhou Yierqi, Suzhou, Jiangsu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5678-472X","authenticated-orcid":false,"given":"Huaming","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, University of Sydney, Darlington, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9208-5336","authenticated-orcid":false,"given":"Kim-Kwang Raymond","family":"Choo","sequence":"additional","affiliation":[{"name":"The University of Texas at San Antonio, San Antonio, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2020.3033498"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3027308"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/asi4010009"},{"key":"ref4","article-title":"Intriguing properties of neural networks","author":"Szegedy","year":"2013"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3638531"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00754"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01457"},{"key":"ref8","first-page":"3319","article-title":"Axiomatic attribution for deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sundararajan","year":"2017"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-46664-9_31"},{"key":"ref10","article-title":"Robust models are more interpretable because attributions look normal","author":"Wang","year":"2021"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/396"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00501"},{"key":"ref13","first-page":"19513","article-title":"Fast axiomatic attribution for neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Hesse","year":"2021"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-021-00343-w"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i15.29669"},{"key":"ref16","article-title":"Explaining and harnessing adversarial examples","author":"Goodfellow","year":"2014"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1201\/9781351251389-8"},{"key":"ref18","article-title":"Towards deep learning models resistant to adversarial attacks","author":"Madry","year":"2017"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.49"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00957"},{"key":"ref21","article-title":"Nesterov accelerated gradient and scale invariance for adversarial attacks","author":"Lin","year":"2019"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00284"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58604-1_19"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00444"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19772-7_32"},{"key":"ref26","article-title":"Task-generalizable adversarial attack based on perceptual metric","author":"Naseer","year":"2018"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00816"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-3020"},{"key":"ref29","first-page":"4768","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Lundberg","year":"2017"},{"key":"ref30","first-page":"3145","article-title":"Learning important features through propagating activation differences","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Shrikumar","year":"2017"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2016.42"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.371"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00020"},{"key":"ref35","article-title":"Deep inside convolutional networks: Visualising image classification models and saliency maps","author":"Simonyan","year":"2013"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3485133"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3127960"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.5555\/3298023.3298188"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"ref43","article-title":"Ensemble adversarial training: Attacks and defenses","author":"Tramer","year":"2017"}],"container-title":["IEEE Transactions on Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9078688\/10908727\/10443697.pdf?arnumber=10443697","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T19:01:02Z","timestamp":1764270062000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10443697\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2]]},"references-count":43,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tai.2024.3368361","relation":{},"ISSN":["2691-4581"],"issn-type":[{"value":"2691-4581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2]]}}}